Publications

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Lipovetzky, N., and Geffner, H., A Polynomial Planning Algorithm that Beats LAMA and FF, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
Lipovetzky, N., Ramírez, M., Muise, C., and Geffner, H., Width and inference based planners: SIW, BFS (f), and PROBE, Proceedings of the 8th International Planning Competition (IPC-2014), 2014.
Lipovetzky, N., and Geffner, H., Searching for plans with carefully designed probes, Proc. of Int. Conf. Automated Planning and Scheduling (ICAPS-11), Freiburg, Germany: 2011. Paper ICAPS 2011 (269.36 KB)
Lipovetzky, N., and Geffner, H., Searching with probes: The classical planner probe, The 2011 International Planning Competition, vol. 30, 2011, p. 71.
Lipovetzky, N., and Geffner, H., Best-first Width Search: Exploration and Exploitation in Classical Planning, Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), 2017.
Lipovetzky, N., Muise, C., and Geffner, H., Traps, Invariants, and Dead-ends, Proc. 26th Int. Joint Conf. on Artificial Intelligence, 2016.
Lipovetzky, N., Ramírez, M., and Geffner, H., Classical Planning with Simulators: Results on the Atari Video Games, Proc. IJCAI 2015, 2015.
Llera, A., Gómez, V., and Kappen, H. J., Adaptive Multiclass Classification for Brain Computer Interfaces, Neural computation, vol. 26, 2014, pp. 1108–1127.
Llera, A., Gómez, V., and Kappen, H. J., Quantitative analysis of task selection for brain-computer interfaces, Journal of Neural Engineering, vol. 11, 2014, p. 056002.
López, C. Linares, Jiménez, S., and Helmert, M., Automating the evaluation of planning systems, {AI} Commun., vol. 26, 2013, pp. 331–354.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artif. Intell., vol. 223, 2015, pp. 82–119.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artificial Intelligence, vol. 223, 2015, pp. 82–119.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the Planning and Learning (PAL) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS'15), 2015, pp. 15-23.
Lotinac, D., Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM'15), 2015.
Lotinac, D., and Jonsson, A., Constructing Hierarchical Task Models Using Invariance Analysis, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16), 2016.
N
Neu, G., and Bartók, G., An Efficient Algorithm for Learning with Semi-Bandit Feedback, Proceedings of the 24th International Conference on Algorithmic Learning Theory (ALT), 2013, pp. 234-248.
Neu, G., and Bartók, G., Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits, Journal of Machine Learning Research, vol. 17, 2016, pp. 1-21.
Neu, G., György, A., Szepesvári, \relaxCs., and Antos, A., Online Markov Decision Processes under Bandit Feedback, Advances in Neural Information Processing Systems 23 (NIPS), 2010, pp. 1804–1812.
Neu, G., Explore no more: Improved high-probability regret bounds for non-stochastic bandits, Advances in Neural Information Processing Systems 28 (NIPS), 2015.

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